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Roman Borisyuk Prof Roman Borisyuk
Role Qualifications & background Diploma of Higher Education in Mathematics (equivalent to MSc) from Moscow State University, USSR, 1973
Candidate of Physical and Mathematical Sciences in Biophysics and Mathematical Biology (equivalent to PhD) from the Institute of Biological Physics of the USSR Academy of Sciences, 1984
Doctor of Physical and Mathematical Sciences in Biophysics and Mathematical Biology (equivalent to DSc) from the Institute of Experimental and Theoretical Biophysics of the Russian Academy of Sciences, 1996.
I have been working in the field of neural networks for 30 years. The main direction of my research has been related to modelling the functional behaviour of structures in the central nervous system. I was among the first in the world to apply new mathematical tools – multidimensional interacting Markovian processes and fields - to the analysis of dynamical regimes in stochastic neural networks (large-scale approach using many variables).
I was engaged at Moscow in pioneer research concerned with
developing numerical algorithms to investigate the bifurcations of
steady states and limit cycles in nonlinear dynamical systems under
parameter variation (small-scale approach using several main
variables). These investigations showed that cooperative effects like
physical phase-transitions and synchronisation phenomena occur normally
in biological neural networks despite a very chaotic spike activity of
single neurons. In addition, metastable states of neural networks were
proved to be useful to model short-term memory in a series of
theoretical and simulation works.
RESEARCH GOALS My current reseact interests relate to the computational neuroscience and modelling of cognitive functions.
I am currently study neurodynamics and synchronisation in neural networks with various types of elements and architectures. The rhythm and waves in the brain are of special interest. The fulfilment of this program will form a unified approach to the solution of the problems of memory, binding, and attention. Professional membership
Professional Membership Invited Visting Professor, Mathematical Biosciences Institute, Ohio State University, Columbus, Ohio, USA, April-June 2003. 2003-date Memeber of Theoretical Neuroscience Network (supported by Leverhulme Trust) 2003-date Member of Scientific Panels, European Commission, Brussels 2006-date Member of Scientific Council, European Complex Systems Society 1990-date Member of Editorial Board of International Journal of Chaos Theory and Applications 2002-date Member of Editorial Board of International Journal of Integrative Neuroscience (Imperial College Press) 1990-date Member of Executive Board of the Russian Neural Network Society. 1985-96 Member of Scientific Council of Institute of Mathematical Problems of Biology of the Russian Academy of Sciences. 1990-date Member of the Russian Neural Network Society 1990-1993 Member of International Neural Network Society 2000-date Member of Society for Industrial and Applied Mathematics (SIAM) Teaching interests Mathematical and Computational Neuroscience Mathematical Modelling Dynamical Systems Bifurcation Theory Research interests CURRENT PROJECTS Synchronisation-Based Neural Network Models of Cognitive Functions (In collaboratin with: Dr. G. Bugmann, Dr. Ya. Kazanovich) My research interests during last years are concentrated on the topic of cognitive function modelling on the basis of synchronisation principle. Modern computer chips are extremely fast devices in comparison with biological neurons. Nevertheless, even today’s fastest computers are much less effective in intelligent/cognitive tasks (such as image/sound recognition, memorisation and associative recall, selective attention, etc.) than those within living systems. The basic reason for this inequality stems from the fact that information processing algorithms used in computer science are vastly different from those in living systems. The very challenging problem is to study principles of information processing in the living system, to formulate these principles as computational algorithms, and to implement them into artificial devices. Rhythms, waves and synchronisation of neural activity have been observed in different brain structures for many years. Oscillations and/or synchronisation accompany sensory processing such as visual recognition, auditory processing, and odour detection, behavioural data also show oscillations. Basing on the principle of synchronisation we develop neural models of different cognitive functions like attention focus formation, novelty detection, memory, etc.
During many years, I have been studying the neuronal dynamics and its role in brain information processing. Bifurcation theory is a useful mathematical tool for this study. A numerical study of coupled neural oscillators (Wilson-Cowan type) with local interactions shows that excitatory-excitatory connections allow appearance of interesting dynamical regimes including wave propagation, irregular chaotic dynamics, persistent “islands” of high activity, etc. It is a challenging problem to study spatio-temporal patterns of neural activity, which appears in small neural population (neural circuits) under specific stimulation. Our approach is based on the idea of partial synchronisation of neural activity.
(In collaboratin with: Dr. E. Stuart, M.Walter) The goal of the Project is to develop new methods for analyzing interdependencies and synchronisation between multi-dimensional simultaneously recorded spike trains. The Project is based on the modern computer science techniques such as graphical engineering, visualization and virtual reality. Other research Publications JOURNAL PAPERS (2000-2007)
Li W.-C., Cooke T., Sautois B., Soffe S., Borisyuk R. and Roberts A. (2007) Axon and dendrite geography predict the specificity of synaptic connections in a functioning spinal cord network. Neural Development, 2:17 (flagged as Highly Accessed paper)
Borisyuk R. and Cooke T. (2007) Metastable states, phase transitions, and persistent neural activity. BioSystems, 89:30-37 Borisyuk R. and Kazanovich Y. (2006) Oscillations and waves in the models of interactive neural populations. BioSystems, 86: 53-62
Kazanovich Y. and Borisyuk R. (2006) An oscillatory model of multiple object tracking. Neural Computation, 18:1413-1440 Borisyuk R., Borisyuk G., Rallings C., Thrasher M. (2005) Forecasting the 2005 general election: A neural network approach. British Journal of Politics and International Relations, 7:199-209 Stuart E., Walter M., Borisyuk R. (2005) The Correlation Grid: Analysis of Synchronous Spiking in Multi-dimensional Spike Train Data and Identification of Feasible Connection Architectures. BioSystems, 79:223-233 Borisyuk R. and Hoppensteadt F. (2004) A theory of epineuronal memory. Neural Networks, 17:1427-1436 Borisyuk R. and Kazanovich Y. (2004) Oscillatory Model of Attention-Guided Object Selection and Novelty Detection. Neural Networks, 17:899-91 Borisyuk R. (2004) Models of the hippocampal theta rhythm. Journal of High Nervous Activity (Zhurnal visshei nervnoi deytel’nosti) (in Russian), 54: 83-98 Ya. Kazanovich, R. Borisyuk (2003) Synchronization in oscillator systems with a central element and phase shifts. Progress of theoretical Physics, 110:1047-1057 Borisyuk R. and Kazanovich Y. (2003) Oscillatory neural network model of attention focus formation and control. BioSystems, 71: 29-38 Borisyuk G.N., Borisyuk R.M., Kazanovich Y.B., and Ivanitsky G.R. (2002) Modelling the dynamics of neural activity and information processing in the brain: the results of the decade. (Uspekhi fizicheskix nauk – Physica - Uspekhi), 172:1189-1214 (in Russian) Borisyuk G.N., Borisyuk R.M., Kazanovich Y.B., Ivanitskii G.R. (2002) Models of neural dynamics in brain information processing - the developments of the decade. PHYSICS-USPEKHI, 45:1073-1095 Borisyuk R. (2002) Oscillatory activity in the neural networks of spiking elements. BioSystems, 67:3-16 Kazanovich Y., Borisyuk R. (2002) Object selection by an oscillatory neural network. BioSystems, 67:103-111 Stuart L, Walter M., and Borisyuk R. (2002) Visualisation of Synchronous Firing in Multi-dimensional Spike Trains. BioSystems, 67:265-278 Borisyuk R. (2001) Puzle of chaotic neurodynamics. Behaioral Brain Science, 24:812-813 Borisyuk R., Denham M., Kazanovich Y., Hoppensteadt F. Vinogradova O., (2001). Oscillatory Model of Novelty Detection. Network: Computation in Neural System, 12: 1-20 Borisyuk R. (2000) Encyclopedia of computational neuroscience: The end of the second millennium. Behavioral Brain Science, 23:534-535 Denham M., Borisyuk R. (2000) A Model of Theta Rhythm Production in the Septal-Hippocampal System and its Modulation by Ascending Brainstem Pathways. Hippocampus, 10:698-716 Borisyuk R., Borisyuk G. (2000) Complex Dynamics of Interactive Neural Oscilltators. Journal of Chaos Theory and Applications, 5:45-62 Borisyuk R., Denham M., Kazanovich Y., Hoppensteadt F. Vinogradova O. (2000). An Oscillatory Neural Network Model of Sparse Distributed Memory and Novelty Detection. BioSystems, 58:265-272
BOOK CHAPTERS (2000-2007)
Borisyuk R. (2005) Neural connectivity and dynamical regimes of neural activity in a network of interactive populations. In: BV&AI 2005, De Gregorio et al. (Eds.), LNCS, Vol. 3704, Springer, 39-48 Kazanovich Y., Borisyuk R. (2005) An oscillatory neural model for tracking a moving object. In: Proceedings of NCWP-9, Plymouth, September 2004, Editors: Cangelosi A., Bugmann G., Borisyuk R., World Scientific, 259-268 Borisyuk R., Kazanovich Y. (2004) Designing an oscillatory model of brain cognitive functions. In: Progress in neural processing, v. 15, Proceedings of the eighth neural computation and psychology workshop. Connectionist models of cognitive perception II, Eds. H. Bowman, Ch. Labiouse, World Scientific, 285-294 Borisyuk R., Borisyuk G., Kazanovich Ya. (2001) Temporal structure of neural activity and modelling of information processing in the brain. In: Emergent Neural Computational Architectures based on Neuroscience. S.Wermter, J. Austin, D. Wilshaw (eds.), Lecture Notes in Computer Science and Artificial Intelligence, LNAI Vol. 2036, Springer, 237-254 Borisyuk G.N., Borisyuk R.M. and Kazanovich Y.B. (2000). Models of temporal structure of neural activity and information processing in the brain. Book Chapter In: Time and the Brain, R. Miller (ed.) Harwood Academic Publishers, 331-349 Borisyuk G., Borisyuk R., Kazanovich Y. and Strong G. (2000) Oscillatory neural networks: Modeling binding and attention by synchronization of neural activity. Book Chapter In: Oscillations in Neural Systems, V.Brown, D. Levine, T. Shirey (eds.), Lawrence Erlbaum Assoc. Inc., 261-283 Reports & invited lectures Invited Lectures and Talks (from 2001)
94th International Titisee Conference The dynamical Brain, Germany, November 2006 Exeter Neurodynamics meeting, July 2006 International Workshop Hippocampus and Memory, Pushchino, Russia, June 26-30, 2006. “The Vinogradova theory of hippocampal comparator and computational modelling of cognitive functions” International Conference BIOCOMP 2005, Vietri sul Mare, December 12-16, 2005. "Metastable states, persistent neural activity, and memory" International Workshop on Real-time Computing and Neural Dynamics in the Brain, RIKEN, Tokyo, March, 2005 "The Vinogradova-Kryukov theory of brain functioning and computational models of cognitive functions" Invited Colloquium talk, Centre for Mathematical Modelling, University of Leicester, February, 2005. "Oscillatory neural models of memory formation and novelty detection" Workshop on Oscillator dynamics, University of Exeter, January 2004, "Oscillatory Model of Attention-Guided Object Selection and Novelty Detection" British Computer Society Summer School on Pattern Recognition, Exeter, July 2003 Neurodynamics meeting, East Midlands Mathematical Physics seminar, Loughborough University, March 2003, "Oscillatory neural model of cognitive functions" London Mathematical Society Meeting, University of Southampton, October 2003, "Dynamics of neural activity, synchronization and information processing" International Conference BIOCOMP2002, Italy, June 2002. “Oscillatory dynamics and memory modelling in neural networks of spiking elements” Invited talk for a Special Session of the Research Council on Biophysics of the Russian Academy of Sciences devoted to Prof. Olga Vinogradova. Pushchino, Russia, June, 2002. “Mathematical and computational model of hippocampal function”. Invited seminar in Department of Mathematics, University of Liverpool “Oscillatory neural networks and information processing”, March 2001. Workshop on Computational Neuroscience. Oxford Consortium on industrial and Applied Mathematics, October 2001. “Complex neural dynamics and information processing in the brain" Invited seminar talk at Department of Cybernetics, Reading University, October 2001, "Synchronisation based models of cognitive functions”. 25 October 2001. Conferences organised RECENT CONFERENCES (from 2001)
Organising Committee Member of the 7th Neural Coding Workshop, Montevideo, Uruguay, November 2007
Co-Organiser of International Symposium "Theory and neuroinformatics in reseach related to deep brain stimulation", March 2007, London Organising Committee Member of the 6th Neural Coding Workshop, Marburg, Germany, August 2005 Scientific Committee Member, International Joint Conference on Neural Networks, JCNN 2004, Budapest, 2004. Organiser of a special session on a role of noise in neural activity, International Joint Conference on Neural Networks, JCNN 2004, Budapest, 2004. Organising Committee Member of the 9th Neural Computation and Psychology Workshop (Plymouth, September 8-10 2004) Organising Committee Member of the 5th Neural Coding Workshop, Aula, Italy, September 2003 Organising Committee Member of Annual Russian Conference on Neuroinformatics (1999-date) Organising Committee Member of the 4th International Workshop on Neural Coding, Plymouth, 2001 |
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